Prof. dr. G.K.J. (Gunter) Maris
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods
Bezoekadres
- Nieuwe Achtergracht 129
- Kamernummer: 0.39
Postadres
- Postbus 15906
1001 NK Amsterdam
Contactgegevens
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Publicaties
- refereed (35)
- wetenschappelijk (3)
- congresbijdragen (1)
- erkenning (9)
- working papers / preprints (1)
2022
Bolsinova, M., Maris, G., Hofman, A. D., van der Maas, H. L. J., & Brinkhuis, M. J. S. (2022). Urnings: A new method for tracking dynamically changing parameters in paired comparison systems. Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(1), 91-118. https://doi.org/10.1111/rssc.12523 [details]
2021
- Boehm, U., Marsman, M., van der Maas, H. L. J., & Maris, G. (2021). An Attention-Based Diffusion Model for Psychometric Analyses. Psychometrika, 86(4), 938-972. https://doi.org/10.1007/s11336-021-09783-0 [details]
2020
- Hofman, A. D., Brinkhuis, M. J. S., Bolsinova, M., Klaiber, J., Maris, G., & van der Maas, H. L. J. (2020). Tracking with (Un)Certainty. Journal of Intelligence, 8(1), [10]. https://doi.org/10.3390/jintelligence8010010 [details]
- Kruis, J., Maris, G., Marsman, M., Bolsinova, M., & van der Maas, H. L. J. (2020). Deviations of rational choice: an integrative explanation of the endowment and several context effects. Scientific Reports, 10, [16226]. https://doi.org/10.1038/s41598-020-73181-2 [details]
- Savi, A. O., van der Maas, H. L. J., Maris, G. K. J., & Marsman, M. (2020). Mitochondrial functioning ≠ general intelligence. Journal of Intelligence, 8(2), [20]. https://doi.org/10.3390/jintelligence8020020
2019
- Marsman, M., Sigurdardóttir, H., Bolsinova, M., & Maris, G. (2019). Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time. Psychometrika, 84(3), 870-891. https://doi.org/10.1007/s11336-019-09668-3 [details]
- Savi, A. O., Marsman, M., van der Maas, H. L. J., & Maris, G. K. J. (2019). The Wiring of Intelligence. Perspectives on Psychological Science, 14(6), 1034-1061. https://doi.org/10.1177/1745691619866447 [details]
- Waldorp, L., Marsman, M., & Maris, G. (2019). Logistic regression and Ising networks: Prediction and estimation when violating lasso assumptions. Behaviormetrika, 46(1), 49-72. https://doi.org/10.1007/s41237-018-0061-0 [details]
2018
- Brinkhuis, M. J. S., Savi, O. A., Hofman, A. D., Coomans, F., van der Maas, H. L. J., & Maris, G. (2018). Learning as It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System. Journal of Learning Analytics, 5(2), 29-46. https://doi.org/10.18608/jla.2018.52.3 [details]
- Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, R., Waldorp, L. J., van der Maas, H. L. J., & Maris, G. (2018). An introduction to network psychometrics: Relating ising network models to item response theory models. Multivariate Behavioral Research, 53(1), 15-35. https://doi.org/10.1080/00273171.2017.1379379 [details]
- Savi, A. O., Ruijs, N. M., Maris, G. K. J., & van der Maas, H. L. J. (2018). Delaying access to a problem-skipping option increases effortful practice: Application of an A/B test in large-scale online learning. Computers and Education, 119, 84-94. https://doi.org/10.1016/j.compedu.2017.12.008 [details]
2017
- Marsman, M., Maris, G., Bechger, T., & Glas, C. (2017). Turning simulation into estimation: Generalized exchange algorithms for exponential family models. PLoS ONE, 12(1), [e0169787]. https://doi.org/10.1371/journal.pone.0169787 [details]
- Marsman, M., Waldorp, L., & Maris, G. (2017). A note on large-scale logistic prediction: Using an approximate graphical model to deal with collinearity and missing data. Behaviormetrika, 44(2), 513-534. https://doi.org/10.1007/s41237-017-0024-x [details]
- Zwitser, R. J., Glaser, S. S. F., & Maris, G. (2017). Monitoring Countries in a Changing World: A New Look at DIF in International Surveys. Psychometrika, 82(1), 210-231. https://doi.org/10.1007/s11336-016-9543-8 [details]
2016
- Bolsinova, M., & Maris, G. (2016). A test for conditional independence between response time and accuracy. British Journal of Mathematical & Statistical Psychology, 69(1), 62-79. https://doi.org/10.1111/bmsp.12059 [details]
- Bolsinova, M., & Maris, G. (2016). Can IRT solve the missing data problem in test equating? Frontiers in Psychology, 6, [1956]. https://doi.org/10.3389/fpsyg.2015.01956 [details]
- Bolsinova, M., Maris, G., & Hoijtink, H. (2016). Unmixing Rasch scales: How to score an educational test. Annals of Applied Statistics, 10(2), 925-945. https://doi.org/10.1214/16-AOAS919 [details]
- Coomans, F., Hofman, A., Brinkhuis, M., van der Maas, H. L. J., & Maris, G. (2016). Distinguishing fast and slow processes in accuracy: Response time data. PLoS ONE, 11(5), [e0155149]. https://doi.org/10.1371/journal.pone.0155149 [details]
- Kruis, J., & Maris, G. (2016). Three representations of the Ising model. Scientific Reports, 6, [34175]. https://doi.org/10.1038/srep34175 [details]
- Marsman, M., Maris, G., Bechger, T., & Glas, C. (2016). What can we learn from Plausible Values? Psychometrika, 81(2), 274-289. https://doi.org/10.1007/s11336-016-9497-x [details]
- Zwitser, R. J., & Maris, G. (2016). Ordering individuals with sum scores: the introduction of the nonparametric Rasch model. Psychometrika, 81(1), 39-59. https://doi.org/10.1007/s11336-015-9481-x [details]
2015
- Bechger, T. M., & Maris, G. (2015). A Statistical Test for Differential Item Pair Functioning. Psychometrika, 80(2), 317-340. https://doi.org/10.1007/s11336-014-9408-y [details]
- Brinkhuis, M. J. S., Bakker, M., & Maris, G. (2015). Filtering data for detecting differential development. Journal of Educational Measurement, 52(3), 319-338. https://doi.org/10.1111/jedm.12078 [details]
- Maris, G., Bechger, T., & San Martin, E. (2015). A Gibbs sampler for the (extended) marginal Rasch model. Psychometrika, 80(4), 859-879. https://doi.org/10.1007/s11336-015-9479-4 [details]
- Marsman, M., Maris, G., Bechger, T., & Glas, C. (2015). Bayesian inference for low-rank Ising networks. Scientific Reports, 5, [9050]. https://doi.org/10.1038/srep09050 [details]
- Savi, A. O., van der Maas, H. L. J., & Maris, G. K. J. (2015). Navigating massive open online courses. Science, 347(6225), 958. https://doi.org/10.1126/science.347.6225.958 [details]
- Zwitser, R. J., & Maris, G. K. J. (2015). Conditional statistical inference with multistage testing designs. Psychometrika, 80(1), 65-84. https://doi.org/10.1007/s11336-013-9369-6 [details]
2014
- Bechger, T. M., Blanca, M. J., & Maris, G. (2014). The analysis of multivariate group differences using common principal components. Structural Equation Modeling, 21(4), 577-587. https://doi.org/10.1080/10705511.2014.919827 [details]
- Zhang, S., Lee, M. D., Vandekerckhove, J., Maris, G., & Wagenmakers, E-J. (2014). Time-varying boundaries for diffusion models of decision making and response time. Frontiers in Psychology, 5, [1364]. https://doi.org/10.3389/fpsyg.2014.01364 [details]
2012
- Maris, G., & van der Maas, H. (2012). Speed-accuracy response models: scoring rules based on response time and accuracy. Psychometrika, 77(4), 615-633. https://doi.org/10.1007/s11336-012-9288-y [details]
2011
- Zand Scholten, A., Maris, G., & Borsboom, D. (2011). The emperor’s new measurement model. Measurement, 9(1), 32-35. https://doi.org/10.1080/15366367.2011.558785 [details]
- van der Maas, H. L. J., Molenaar, D., Maris, G., Kievit, R. A., & Borsboom, D. (2011). Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences. Psychological Review, 118(2), 339-356. https://doi.org/10.1037/a0022749 [details]
2010
- Bechger, T. M., Maris, G., & Hsiao, Y. P. (2010). Detecting halo effects in performance-based examinations. Applied Psychological Measurement, 34(8), 607-619. https://doi.org/10.1177/0146621610367897 [details]
- Maris, G., Schmittmann, V. D., & Borsboom, D. (2010). Who needs linear equating under the NEAT design? Measurement, 8, 11-15. https://doi.org/10.1080/15366361003684653 [details]
2009
- Maris, G., & Bechger, T. (2009). On interpreting the model parameters for the three parameter logistic model. Measurement, 7(2), 75-88. https://doi.org/10.1080/15366360903070385 [details]
2018
- Epskamp, S., Maris, G., Waldorp, L. J., & Borsboom, D. (2018). Network Psychometrics. In P. Irwing, T. Booth, & D. J. Hughes (Eds.), The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development (Vol. 2, pp. 953-986). Chichester: Wiley. https://doi.org/10.1002/9781118489772.ch30 [details]
2009
- Maris, G. (2009). Standard setting from a psychometric point of view. In N. Figueras, & J. Noijons (Eds.), Linking to the CEFR levels: research perspectives (pp. 59-65). Arnhem: CITO - Council of Europe - EALTA. [details]
- Maris, G., & Bechger, T. (2009). Equivalent diagnostic classification models. Measurement, 7(1), 41-46. https://doi.org/10.1080/15366360802715478 [details]
2019
- Ou, L., Hofman, A. D., Simmering, V., Berger, T., Maris, G. K. J., & van der Maas, H. L. J. (2019). Modeling person-specific development of math skills in continuous time: New evidence for mutualism. Paper presented at The 12th International Conference on Educational Data Mining, .
Tijdschriftredactie
- Maris, G. K. J. (editor) (2015). Psychometrika (Journal).
Spreker
- Zwitser, R. (speaker), Glaser, S. S. F. (speaker) & Maris, G. K. J. (speaker) (18-7-2017). On the Difference between Modeling DIF and Correcting for DIF, 82nd Annual Meeting of the Psychometric Society, Zurich.
- Partchev, I. (speaker), Zwitser, R. (speaker), van der Palm, D. (speaker), Maris, G. K. J. (speaker) & Bechger, T. M. (speaker) (9-2-2017). Introducing dexter: An R Package for Managing and Analysing Test Data., International Workshop on Psychometric Computing, Vienna.
- Zwitser, R. (speaker) & Maris, G. K. J. (speaker) (27-7-2016). Differential Item Function in educational surveys. It’s there and it should be there!, VII European Congress of Methodology, Palma de Mallorca.
- Maris, G. K. J. (invited speaker) (12-12-2014). What is the question to which IRT is the answer?, 24th IOPS Winter Conference, Amsterdam.
- Zwitser, R. (speaker), Glaser, S. S. F. (speaker) & Maris, G. K. J. (speaker) (20-11-2014). Monitoring Countries in a Changing World. A New Look at DIF in International Surveys., Presentation at the Research Center for Examinations and Certification (RCEC) workshop 2014, Enschede.
- Zwitser, R. (speaker) & Maris, G. K. J. (speaker) (22-7-2013). Ordering Individuals with Sum Scores: the Introduction of the Nonparametric Rasch Model, International Meeting of the Psychometric Society, Arnhem.
- Zwitser, R. (speaker), Béguin, A. (speaker) & Maris, G. K. J. (speaker) (8-7-2011). Complex Decision Rules and Misclassification: Who Should Take a Retest?, International Meeting of the Psychometric Society, Hong Kong.
- Zwitser, R. (speaker) & Maris, G. K. J. (speaker) (7-6-2010). CML Estimation in Multistage Testing, International Association for Computerized Adaptive Testing, Arnhem.
2018
- Kruis, J., Molenaar, D., Marsman, M., Maris, G., & van der Maas, H. (2018). The Pairwise Exchange Tournament. University of Amsterdam. https://doi.org/10.13140/RG.2.2.26027.54569 [details]
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
Bolsinova, M., Maris, G., Hofman, A. D., van der Maas, H. L. J., & Brinkhuis, M. J. S. (2022). Urnings: A new method for tracking dynamically changing parameters in paired comparison systems. Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(1), 91-118.